LIG1 is a synthetic lethal target in BRCA1 mutant cancers.

Synthetic lethality approaches in BRCA1/2-mutated cancers have focused on poly(ADP-ribose) polymerase (PARP) inhibitors, which are subject to high rates of innate or acquired resistance in patients. Here, we used CRISPR/Cas9-based screening to identify DNA Ligase I (LIG1) as a novel target for synthetic lethality in BRCA1-mutated cancers. Publicly available data supported LIG1 hyperdependence of BRCA1-mutant cells across a variety of breast and ovarian cancer cell lines.

Anionic lipid catalyzes the generation of cytotoxic insulin oligomers.

Misfolding and aggregation of proteins into amyloidogenic assemblies are key features of several metabolic and neurodegenerative diseases. Human insulin has long been known to form amyloid fibrils under various conditions, which affects its bioavailability and function. Clinically, insulin aggregation at recurrent injection sites poses a challenge for diabetic patients who rely on insulin therapy.

Instar identification and weight prediction of (Guenée) larvae using machine learning.

The Asian corn borer, (Guenée), emerges as a significant threat to maize cultivation, inflicting substantial damage upon the crops. Particularly, its larval stage represents a critical point characterised by significant economic consequences on maize yield. To manage the infestation of this pest effectively, timely and precise identification of its larval stages is required.

The kinetics of aqueous thiolated arsenic oxidation.

Thiolated arsenic (As) compounds have been identified in various natural and engineered environments worldwide and are important for the biogeochemical cycling of As, yet quantitative data regarding their stability and transformation rates remains scarce. This study investigates the oxidation kinetics of mono-, di-, and tri-thioarsenate at varying pH, Fe, and (thio-)As concentrations in the aqueous phase. Experiments conducted over four weeks revealed that all thioarsenates were oxidized faster at lower pH, with rates of up to several μmoles/L/d at a pH of 3.

The Bidirectional Relationship Between Type 2 Diabetes and Metabolic Dysfunction-Associated Steatotic Liver Disease: A Retrospective Cohort Study.

Introduction Type 2 diabetes (T2D) and metabolic dysfunction-associated steatotic liver disease (MASLD) have shared pathophysiology. We aim to explore associations between these diseases and the impact of T2D therapies on MASLD-related outcomes in a real-world population. Methods A retrospective cohort study included 153 patients with biopsy-proven MASLD.